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A contextual-bandit approach to personalized news article recommendation.

, , , and . WWW, page 661-670. ACM, (2010)

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Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches, , , , and . (2018)cite arxiv:1811.08540Comment: COLT 2019.Microchoice Bounds and Self Bounding Learning Algorithms., and . COLT, page 209-214. ACM, (1999)A comparison of tight generalization error bounds., and . ICML, volume 119 of ACM International Conference Proceeding Series, page 409-416. ACM, (2005)Exploration scavenging., , and . ICML, volume 307 of ACM International Conference Proceeding Series, page 528-535. ACM, (2008)Error-Correcting Tournaments., , and . ALT, volume 5809 of Lecture Notes in Computer Science, page 247-262. Springer, (2009)Sensitive Error Correcting Output Codes., and . COLT, volume 3559 of Lecture Notes in Computer Science, page 158-172. Springer, (2005)The Cross Validation Problem.. COLT, volume 3559 of Lecture Notes in Computer Science, page 687-688. Springer, (2005)Maintaining Equilibria During Exploration in Sponsored Search Auctions., , , and . WINE, volume 4858 of Lecture Notes in Computer Science, page 119-130. Springer, (2007)Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7335-7344. PMLR, (2019)Learning Performance of Prediction Markets with Kelly Bettors, , and . CoRR, (2012)